Yoni Choukroun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Laplace Beltrami

Error Correction

Top Venues

Publications

Yoni Choukroun, Lior Wolf
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding. CoRR (2024)
Yoni Choukroun, Lior Wolf
Deep Quantum Error Correction. AAAI (2024)
Yoni Choukroun, Lior Wolf
Learning Linear Block Error Correction Codes. CoRR (2024)
Yoni Choukroun, Lior Wolf
A Foundation Model for Error Correction Codes. ICLR (2024)
Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer. MICCAI (2) (2023)
Yoni Choukroun, Lior Golgher, Pablo Blinder, Lior Wolf
Reconstructing the Hemodynamic Response Function via a Bimodal Transformer. CoRR (2023)
Yoni Choukroun, Lior Wolf
Deep Quantum Error Correction. CoRR (2023)
Yoni Choukroun, Lior Wolf
Denoising Diffusion Error Correction Codes. ICLR (2023)
Yoni Choukroun, Lior Wolf
Denoising Diffusion Error Correction Codes. CoRR (2022)
Yoni Choukroun, Lior Wolf
Error Correction Code Transformer. CoRR (2022)
Yoni Choukroun, Lior Wolf
Error Correction Code Transformer. NeurIPS (2022)
Yoni Choukroun, Lior Wolf
Geometric Transformer for End-to-End Molecule Properties Prediction. IJCAI (2022)
Yoni Choukroun, Michael Katz
Meta Subspace Optimization. CoRR (2021)
Yoni Choukroun, Lior Wolf
Geometric Transformer for End-to-End Molecule Properties Prediction. CoRR (2021)
Yoni Choukroun, Alon Shtern, Alexander M. Bronstein, Ron Kimmel
Hamiltonian Operator for Spectral Shape Analysis. IEEE Trans. Vis. Comput. Graph. 26 (2) (2020)
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR (2020)
Yoni Choukroun, Eli Kravchik, Fan Yang, Pavel Kisilev
Low-bit Quantization of Neural Networks for Efficient Inference. ICCV Workshops (2019)
Yoni Choukroun, Eli Kravchik, Pavel Kisilev
Low-bit Quantization of Neural Networks for Efficient Inference. CoRR (2019)
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. CoRR (2018)
Amir Bennatan, Yoni Choukroun, Pavel Kisilev
Deep Learning for Decoding of Linear Codes - A Syndrome-Based Approach. ISIT (2018)
Elad Tzoreff, Olga Kogan, Yoni Choukroun
Deep Discriminative Latent Space for Clustering. CoRR (2018)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator. J. Math. Imaging Vis. 60 (6) (2018)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Schrödinger Operator for Sparse Approximation of 3D Meshes. SGP (Posters) (2017)
Yoni Choukroun, Gautam Pai, Ron Kimmel
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator. CoRR (2017)
Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. VCBM (2017)
Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela
Consistent Discretization and Minimization of the L1 Norm on Manifolds. CoRR (2016)
Yoni Choukroun, Alon Shtern, Ron Kimmel
Elliptic operator for shape analysis. CoRR (2016)
Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, Matan Sela
Consistent Discretization and Minimization of the L1 Norm on Manifolds. 3DV (2016)